Changes for page Impact of changing topic retention

Last modified by Erik Bakker on 2024/09/03 08:22

From version 16.1

edited by Carlijn Kokkeler
on 2024/08/27 15:16

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To version 17.1

edited by Carlijn Kokkeler
on 2024/08/29 11:05

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--In this microlearning, we'll look at the impact of changing retention policies for topics across time. A retention policy defines at what thresholds data is deleted from a topic.
++Understanding retention configuration in Event Streaming is crucial for managing data effectively. This guide will cover how to set and manage retention policies based on both time and size, ensuring you keep control over your topic data. We’ll also explore key considerations, including how retention interacts with topic size, segment calculations, and the impact of data duplication. Use this information to optimize your retention settings across different environments and avoid potential pitfalls.
  Should you have any questions, please get in touch with [[academy@emagiz.com>>mailto:academy@emagiz.com]].